Senior Staff Software Engineer | Security Data Platform | Expert in Python

ServiceNow•Santa Clara, CA

About The Position

The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact. About the role: Our security teams pull data from a lot of separate systems. Asset inventory, identity governance, detection tooling, and threat intel all live in different places, so answering a basic question like which systems an attacker could reach from a compromised account can take a security analyst most of a day. We're building a platform that connects those systems behind a shared API and knowledge layer so those questions can be answered in seconds. We are not replacing the source systems or copying their data. You would be a senior individual contributor on a small team, responsible for whole areas of the platform: designing the API contracts, building the services behind them, getting them into production, and working with partner teams to actually adopt them. This is a hands-on role. You will write code, define interfaces other teams build against, and work directly with stakeholders in detection engineering, red team, blue team, and identity and asset management.

Requirements

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
12+ years of professional software engineering experience, including systems you have operated in production and not just shipped. OR SIMILAR EXPERIENCE WITH EDUCATION
Expert-level Python: data processing at scale, API development, and real testing discipline in a production codebase.
Deep hands-on Splunk experience. SPL, data onboarding and normalization, search performance tuning, and working with the Splunk APIs.
Software architecture ownership on distributed or data-intensive systems. You have defined service and API boundaries, documented the tradeoffs, and revised a design when the requirements moved.
A real cybersecurity background: security operations, detection engineering, threat detection, incident response, or security data engineering. You should know how security telemetry gets produced and consumed, and be comfortable with frameworks like MITRE ATT&CK.
Project ownership at a senior IC level. You have taken an initiative from a vague problem statement to a delivered result, worked across team boundaries to do it, and kept engineering leadership informed without needing to be managed through it.

Nice To Haves

Data science experience: statistical analysis, feature engineering, anomaly detection, or building and evaluating models against noisy operational data.
Applied AI or ML experience, particularly LLM-based systems, retrieval-augmented generation, knowledge graphs, or agentic workflows, along with some interest in the security side of enterprise AI adoption.
Experience with identity governance or asset inventory platforms.
Experience defining data contracts or governance models for internal platform consumers.

Responsibilities

Design and build the platform's core APIs, covering context retrieval, risk scoring, entity resolution, data contracts, and coverage queries.
Build and run asynchronous data pipelines on a message bus with a governed schema registry.
Integrate security data sources including SIEM, identity governance, asset inventory, and our knowledge graph.
Own platform workstreams from scoping through delivery, including the cross-team coordination that takes.
Write design proposals and review other people's, as part of the platform's RFC process.
Review code, mentor engineers on partner teams who contribute to the platform, and keep the technical documentation usable.